Real Time Analysis of Diet and Activity Data

描述（由申请人提供）：我获得这个职业发展奖的目标是成为一名独立的研究人员，专门从事行为生活方式干预统计方法的开发和应用。我是一名生物统计学家，在分析随机临床试验数据和开发处理缺失数据的方法方面具有丰富的经验。K07奖将以过去的经验为基础：（1）提供饮食和身体活动干预方面的培训，重点是评估，坚持和生活方式行为的决定因素，以及（2）提供指导指导，以开发专门用于分析实时饮食和活动数据的统计方法，这些数据是在行为干预临床试验中收集的。为了实现这些目标，我制定了一个全面的教育计划，包括专家导师，包括行为干预专家，专门从事行为干预的生物统计学家，研究专长是体力活动评估的运动学家，营养流行病学家，以及分析加速计输出的统计学家。我提出的研究既加强了我的训练，又提供了原创的、创新的统计方法来回答有关行为干预的重要问题。本研究计划的主要目的如下：1）建立统计模型，以实时调查身体活动对饮食的影响。2)确定预测长期行为变化的因素。3)通过放宽关于缺失数据的假设，扩展目标1和2中的统计模型。在这个职业发展奖的研究和培训将准备我是一个研究项目和赠款的主要研究者，开发统计方法来调查行为变化的机制，并改善饮食和活动行为的评估。

DESCRIPTION (provided by applicant): My goal for this career development award is to become an independent researcher specializing in the development and application of statistical methods for behavioral lifestyle interventions. I am a biostatistician with significant experience analyzing data from randomized clinical trials and developing methods for handling missing data. This K07 award will build on this past experience by: (1) providing training in diet and physical activity interventions, focusing on assessment, adherence, and the determinants of lifestyle behaviors, and (2) providing mentored guidance to develop statistical methods specifically designed to analyze real-time diet and activity data that is gathered in clinical trials of behavioral interventions. To achieve these goals, I have developed a comprehensive educational plan, including expert mentors consisting of a behavioral interventionist, a biostatistician who specializes in behavioral interventions, a kinesiologist whose research expertise is in physical activity assessment, a nutritional epidemiologist, and a statistician who is an expert in the analysis of accelerometer output. The research I have proposed both reinforces my training and provides original, innovative statistical methodology to answer important questions regarding behavioral interventions. The research plan focuses on the following specific aims: 1) Develop statistical models to investigate the effects of physical activity on diet at the real-time level. 2) Identify the factors which are predictive of long-term behavior change. 3) Extend the statistical models in aims 1 and 2 by relaxing assumptions regarding missing data. The research and training in this career development award will prepare me to be a principal investigator on research projects and grants that develop statistical methodology to investigate mechanisms of behavior change and improve the assessment of diet and activity behaviors.